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AI-powered travel planning system with budget optimization, multi-source search, and personalized recommendations built on Vercel AI SDK v6, Supabase + PGVector, Upstash Redis + QStash, and NextJS 16, TailwindCSS
This repo has been developed for the Istanbul Data Science Bootcamp, organized in cooperation with İBB and Kodluyoruz. Prediction for house prices was developed using the Kaggle House Prices - Advanced Regression Techniques competition dataset.
A web app for translating from one language to another.Almost all languages are available.App also generates an audio file of the translation and lets you download the audio file.
An interactive AI chatbot built with Streamlit and Groq API using the powerful llama-3.3-70b-versatile model. Features include a modern UI, memory toggle, and downloadable chat history. Ideal for testing LLMs or deploying a smart assistant in real-time.
This project is a simplified front end clone of Netflix and is created using Python and MySQL. To run the code, pip install streamlit and type "streamlit run /python file path/" in the command prompt. Login credentials can be taken from the database.
Microservice built with a streamlit UI, utilizing a bottle.py server and Spacy for named entity recognition. Instructions provided to run locally or build up with Docker-compose.
Detailed walkthrough of a data science project for the Kaggle House Prices challenge, covering data cleaning, EDA, feature engineering, and regression modeling.
JanAr: GUI application leveraging GPT-4-Vision and GPT models to automatically generate engaging social media captions for artwork images. Customized for a glass workshop and picture framing business, it blends artistic insights with effective online engagement strategies.
A Streamlit-powered personal expense tracker with a MySQL backend, featuring interactive charts, stats, and a clean UI to help you manage your spending.